An open-source for Geophysical Modeling and Inversion in research and teaching
2024-03-19
It is rather a toolbox with lots of toolsl to combine than a ready-purpose code
pyGIMLi objects (Mesh, DataContainer, matrix types, etc.), geostatistical vs. smoothness regularization, treatment of subsurface regions, adding prior data.MultiFrameModelling for temporally/spectrally/spatially constrained inversionTimelapseERT class with different strategies, e.g. 4D inversion“In open source, we feel strongly that to really do something well, you have to get a lot of people involved.”
– Linus Torvalds
#pyGIMLi chat on Mattermost!SEGwebinar repository.pg environment with the required dependencies (in particular pygimli=1.5.0).Follow without a local installation
You can also visit https://colab.research.google.com, open an empty notebook and type !pip install pygimli.
A single story with a timelapse ERT data
load, process and visualize data
work on different meshes
use different regularization approaches
add prior information and petrophysics
Visualize results in 2D and 3D